To explore the application of sequential analysis in post-market safety dynamic surveillance of vaccines. Under the dynamic monitoring data of vaccines post-market approval, this research introduces the fundamental principles of maximizing sequential probability ratio test (MaxSPRT) and Bayesian sequential analysis, employing R software. Through an example of dynamic safety monitoring data of vaccines post-market approval, we analyze using the MaxSPRT and Bayesian sequential analysis. The MaxSPRT identified a safety signal in week 4 ( P<0.05), while Bayesian sequential analysis indicated that the 95% highest density interval for the RR value at week 4 is 1.13-3.27, suggesting the first appearance of a safety signal at week 4. The MaxSPRT and Bayesian sequential analysis effectively leverage continuously accumulating dynamic monitoring data, thereby serving as a valuable method for post-market safety surveillance of vaccines.

Objective To investigate the trend of dynamic changes and the mechanisms of P2X7R by which berberine(BBR)alleviates chronic retinal light injury in mice.Methods A total of 90 mice were randomly divided into three groups,a blank control group(n=10),a group exposed to low-intensity blue light(500 lux)for 12 hours per day for a duration of 3 months,which was referred to as the LD group(n=40),and another group given BBR at a dose of 200 mg/kg via gastric gavage on top of the blue light exposure for the LD group,which was referred to as the LD+BBR group(n=40).After the light exposure and gavage were completed,eye tissues were collected from the mice.Hematoxylin and eosin(HE)staining was performed to observe the protective effects of berberine on chronic retinal light damage in mice.TUNEL assay was performed to assess the effect of berberine on apoptotic cells in mice with chronic retinal light injury.Additionally,quantitative polymerase chain reaction(QPCR)was performed to assess the expression level of P2X7 receptors in chronic retinal light injury relieved by BBR.Results Compared with the blank control group,the LD group exhibited abnormal retinal morphology,with some ganglion cells displaying reduced nuclei,a deeper stain,and loose arrangement.In the LD group,the cells in the inner nuclear layer appeared to be slightly more loosely arranged,while the cells in the outer nuclear layer cells were arranged in a disorderly way.Furthermore,the thickness of the outer nuclear layer of the retina from mice in the LD group was(47.11±2.01)μm,and a significant number of apoptotic cells were observed in the outer nuclear layer,resulting in an apoptosis rate of(71.16±5.99)％(P＜0.05).In contrast,the LD+BBR group showed mild abnormal retinal morphology with loosely arranged ganglion cells.In the LD+BBR group,the cells in both inner and outer nuclear layers of retina exhibited relatively intact morphology,uniform staining pattern,and tight arrangement.Moreover,the thickness measurement for outer nuclear layer revealed a value of(54.07±2.05)μm,and there were only a few apoptotic cells present,resulting in an apoptotic rate of(16.02±2.68)％(P＜0.05).Compared with that of the blank control group,the relative expression of P2X7R mRNA in the retinas of the LD group was upregulated,with the difference between the two groups being statistically significant(P＜0.05).The relative expression of P2X7R mRNA in the retinas of the LD+BBR group was downregulated,showing no statistical significance compared with that of the blank control group.However,compared with that of the LD group,the relative expression of P2X7R mRNA in the retinas of the LD+BBR group showed a significant downward trend,and the difference between the two groups was statistically significant(P＜0.05).Conclusion Berberine can alleviate chronic retinal photodamage in mice,and inhibit the activation of P2X7R,thereby preventing the formation of retinal photodamage.

ObjectiveTo investigate the association and translational mechanism between the hepatotoxicity of Xianling Gubao （XLGB） and its treatment of osteoporosis based on a zebrafish model. MethodsZebrafish were randomly selected four days after fertilization （4 dpf） and exposed to different concentrations of XLGB （0.7，0.35 mg·L^-1） for 96 h. At the endpoint of the exposure， the mortality rates of zebrafish in the treatment groups of different concentrations were counted， and the "dose-toxicity" curves were plotted. The 10% sublethal concentration （LC₁₀） was calculated. The liver area， acridine orange staining， and pathological tissue sections of transgenic zebrafish ［CZ16 （gz15Tg.Tg （fabp 10a： ds Red； ela31： EGFP）］ were used as indicators to confirm the hepatic damage caused by the sublethal concentration of XLGB. By using the prednisolone （PNSL）-induced osteoporosis model of zebrafish， the anti-osteoporosis activity of XLGB was evaluated by using the area of skull stained by alizarin red and the cumulative optical density value as indicators. Then， the toxicity difference of XLGB on the liver of zebrafish in healthy and osteoporotic states was compared， and the mechanism of the translational action of the toxicity of XLGB was predicted based on network pharmacology and real-time polymerase chain reaction（Real-time PCR）. ResultsThe LC₁₀ of XLGB on zebrafish （8 dpf） was 0.7 mg·L^-1. Compared with the blank group， the sublethal concentration （LC₁₀=0.7 mg·L^-1， 1/2 LC₁₀=0.35 mg·L^-1） of XLGB induced an increase in the number of apoptosis of hepatocytes in a dose-dependent manner， and the tissue arrangement of the liver was disordered and loose. The vacuoles were obvious， and the fluorescence area of the liver was significantly reduced （P<0.01）. Compared with the blank group， the mineralized area and cumulative optical density value of zebrafish skull in the PNSL model group were significantly reduced （P<0.01）， and those in the 0.7，0.35 mg·L^-1 XLGB treatment group were significantly increased compared with the model group （P<0.01）. Most importantly， 0.7 mg·L^-1 XLGB had no significant effect on the liver of zebrafish in the osteoporosis disease model compared with the blank group. The results of network pharmacology and real-time PCR experiments showed that the toxic transformation of XLGB might be related to the differences in the expression levels of key targets， such as tumor protein 53 （TP53）， cysteine aspartic acid specific protease-3（Caspase-3）， interleukin（IL）-6， and alkaline phosphatase（ALP） in different organismal states. ConclusionUnder certain conditions， XLGB has hepatotoxicity in normal zebrafish， but under osteoporotic conditions， XLGB not only exerts significant anti-osteoporosis activity but also alleviates hepatotoxicity significantly， which provides a reference for the safe clinical use of XLGB and real evidence for the theories of traditional Chinese medicine of attacking poison with poison and of treating disease with corresponding drugs without damage to the body.

AIM:To evaluate the application effec-tiveness of a Bayesian mixture model based on the principal stratum strategy for estimating the com-plier average causal effect(CACE)in clinical trials with non-compliance.METHODS:Using a non-infe-riority randomized controlled trial investigating a novel drug for primary type 2 diabetes mellitus(non-inferiority margin:-0.4)as a case study,the primary analysis applied a Bayesian mixture model under the monotonicity assumption to estimate CACE of between-group differences in glycated he-moglobin(HbA1c)changes within the compliant stratum,followed by non-inferiority testing.Sensi-tivity analyses included a Bayesian mixture model relaxing the monotonicity assumption and compar-ing results with per-protocol set(PPS)analysis.RE-SULTS:In the primary analysis,the posterior mean of CACE for HbA1c change in the compliant stratum was 0.081％,with a one-sided 97.5％credible inter-val lower bound of-0.124,exceeding the non-infe-riority margin(-0.4％),supporting the non-inferiori-ty efficacy of the novel drug in the compliant stra-tum(P(H1|Data)=1).Consistent findings were ob-served in PPS analyses(estimated effect:0.136％;one-sided 97.5％credible interval lower bound:-0.069％),further validating methodological robust-ness.CONCLUSION:In clinical trials with noncom-pliance as an intercurrent event,the Bayesian mix-ture model under the principal stratum strategy ef-fectively adjusts for compliance-related bias and yields conservative,robust estimates of causal ef-fects,supporting its value in efficacy evaluation un-der complex compliance scenarios.

Depression is a common chronic mental illness.Animal models of depression are widely used to study the pathogenesis of depression as well as in the development of new antidepressant drugs.The consistency and reliability of animal models of depression to simulate human depressive symptoms directly affect the study result.However,at present,no animal models have been found that are completely consistent with the onset of human depression,which hinders the in-depth study of depression.By using scientific and reasonable modeling and evaluation method,the pathological state of depression can still be simulated to a large extent,providing a basis for further in-depth research of the pathogenesis of depression and the development of effective antidepressant drugs.This paper aims to provide a reference for researchers by reviewing several commonly used animal models and behavioral tests of depression.

To explore the application of sequential analysis in post-market safety dynamic surveillance of vaccines. Under the dynamic monitoring data of vaccines post-market approval, this research introduces the fundamental principles of maximizing sequential probability ratio test (MaxSPRT) and Bayesian sequential analysis, employing R software. Through an example of dynamic safety monitoring data of vaccines post-market approval, we analyze using the MaxSPRT and Bayesian sequential analysis. The MaxSPRT identified a safety signal in week 4 ( P<0.05), while Bayesian sequential analysis indicated that the 95% highest density interval for the RR value at week 4 is 1.13-3.27, suggesting the first appearance of a safety signal at week 4. The MaxSPRT and Bayesian sequential analysis effectively leverage continuously accumulating dynamic monitoring data, thereby serving as a valuable method for post-market safety surveillance of vaccines.

Depression is a common chronic mental illness.Animal models of depression are widely used to study the pathogenesis of depression as well as in the development of new antidepressant drugs.The consistency and reliability of animal models of depression to simulate human depressive symptoms directly affect the study result.However,at present,no animal models have been found that are completely consistent with the onset of human depression,which hinders the in-depth study of depression.By using scientific and reasonable modeling and evaluation method,the pathological state of depression can still be simulated to a large extent,providing a basis for further in-depth research of the pathogenesis of depression and the development of effective antidepressant drugs.This paper aims to provide a reference for researchers by reviewing several commonly used animal models and behavioral tests of depression.

AIM:To evaluate the application effec-tiveness of a Bayesian mixture model based on the principal stratum strategy for estimating the com-plier average causal effect(CACE)in clinical trials with non-compliance.METHODS:Using a non-infe-riority randomized controlled trial investigating a novel drug for primary type 2 diabetes mellitus(non-inferiority margin:-0.4)as a case study,the primary analysis applied a Bayesian mixture model under the monotonicity assumption to estimate CACE of between-group differences in glycated he-moglobin(HbA1c)changes within the compliant stratum,followed by non-inferiority testing.Sensi-tivity analyses included a Bayesian mixture model relaxing the monotonicity assumption and compar-ing results with per-protocol set(PPS)analysis.RE-SULTS:In the primary analysis,the posterior mean of CACE for HbA1c change in the compliant stratum was 0.081％,with a one-sided 97.5％credible inter-val lower bound of-0.124,exceeding the non-infe-riority margin(-0.4％),supporting the non-inferiori-ty efficacy of the novel drug in the compliant stra-tum(P(H1|Data)=1).Consistent findings were ob-served in PPS analyses(estimated effect:0.136％;one-sided 97.5％credible interval lower bound:-0.069％),further validating methodological robust-ness.CONCLUSION:In clinical trials with noncom-pliance as an intercurrent event,the Bayesian mix-ture model under the principal stratum strategy ef-fectively adjusts for compliance-related bias and yields conservative,robust estimates of causal ef-fects,supporting its value in efficacy evaluation un-der complex compliance scenarios.

Objective:To analyze the total expendition,developmental changes and flow of the total cost of traditional Chinese medicine(TCM)in China from 2016 to 2021,and to study the development of the total cost of TCM in different medical institutions.Methods:Institutional flow method and case-base aggregation method were used to account for the total TCM costs.Results:From 2016 to 2021,the total amount of total TCM costs flowed to TCM-type hospitals was the highest in China,the proportion of total TCM costs in primary healthcare organizations was increased,and TCM-type clinics and outpatient clinics were developed more rapidly.The share of Chinese medicine drug costs in total Chinese medicine costs has been declined,and the share of county hospitals in their total health costs has been risen overall Conclusion:In the future,it would increase the TCM investment,attach importance to the development of TCM services in non-Chinese medicine hospitals,improve the capacity of primary Chinese medicine services,continue to consolidate the policy of"strengthening the primary",and maintain the rapid development of Chinese medicine clinics and outpatient clinics;the value of Chinese medicine technical labor should be emphasized,and the driving force of county hospitals should be brought into full play.

Objective:To analyze the total expendition,developmental changes and flow of the total cost of traditional Chinese medicine(TCM)in China from 2016 to 2021,and to study the development of the total cost of TCM in different medical institutions.Methods:Institutional flow method and case-base aggregation method were used to account for the total TCM costs.Results:From 2016 to 2021,the total amount of total TCM costs flowed to TCM-type hospitals was the highest in China,the proportion of total TCM costs in primary healthcare organizations was increased,and TCM-type clinics and outpatient clinics were developed more rapidly.The share of Chinese medicine drug costs in total Chinese medicine costs has been declined,and the share of county hospitals in their total health costs has been risen overall Conclusion:In the future,it would increase the TCM investment,attach importance to the development of TCM services in non-Chinese medicine hospitals,improve the capacity of primary Chinese medicine services,continue to consolidate the policy of"strengthening the primary",and maintain the rapid development of Chinese medicine clinics and outpatient clinics;the value of Chinese medicine technical labor should be emphasized,and the driving force of county hospitals should be brought into full play.